Design and Simulation Analysis of Source-Grid-Load-Storage Integrated Scheduling for Large-Scale Power Systems

Abstract

With the rapid development of new power systems and global energy transformation, the comprehensive
scheduling difficulty of large-scale power systems continues to increase. The research aims to design a
comprehensive scheduling model to optimize the balance between energy supply and demand, efficiently
utilizing electricity. This study establishes an energy control hub and performs random fuzzy power flow
calculations. The alternating direction multiplier algorithm is used for regional decentralized calculation in threelayer scheduling programming. Then, a source-grid-load-storage integrated scheduling model based on the
alternating direction multiplier algorithm is designed. According to the verification results, the designed model
had the lowest abandoned wind and solar rates, which were 7.4% and 2.6%, respectively. During peak shaving
periods, the frequency remained stable at around 49.72 Hz, and the demand response at the load side helped
reduce frequency drops. The overall cost was 11.7% lower than that of the large-scale power system scheduling
model based on Benders. The results indicate that the scheduling model designed for large-scale power systems
can flexibly and efficiently integrate source-grid-load-storage scheduling, achieving efficient energy utilization
and supply-demand balance. The research designs a new solution for the efficient and flexible operation of largescale power systems.

Cite this article as: Q. Luo, Y. Wu, C. Zhou, and D. Zhu, “Design and simulation analysis of source-grid-load-storage integrated scheduling for large-scale power
systems,” Electrica, 25, 0138, 2025. doi: 10.5152/electrica.2025.24138.